* Add comprehensive tests for Vertex AI Gemini labels provider filtering - Test Google GenAI endpoints exclude labels even when explicitly provided - Test Vertex AI endpoints include labels when provided - Cover provider detection logic for different endpoint URLs - Verify metadata-to-labels conversion only happens for Vertex AI - Ensure edge cases are handled properly (null/empty api_base) * Fix Vertex AI Gemini labels field provider-aware filtering - Add _is_google_genai_endpoint() function to detect Google GenAI vs Vertex AI endpoints - Update _transform_request_body() to accept api_base parameter - Only include labels field for Vertex AI endpoints (not Google GenAI) - Pass api_base through sync/async transform functions - Maintain backward compatibility with existing usage - Fixes issue where Google GenAI requests failed with unsupported labels field * Refactor labels filtering to use custom_llm_provider instead of URL parsing Replace URL-based endpoint detection with custom_llm_provider parameter checking for cleaner, more reliable provider identification. Changes: - Remove _is_google_genai_endpoint() helper function - Update labels condition to use custom_llm_provider != "gemini" - Remove api_base parameter from _transform_request_body() - Simplify sync/async transform function signatures - Update tests to reflect new parameter structure - Remove obsolete test_provider_detection test This approach aligns with existing codebase patterns where custom_llm_provider="gemini" identifies Google AI Studio endpoints that don't support labels, while vertex_ai/vertex_ai_beta identify Vertex AI endpoints that do support labels. * Use LlmProviders.GEMINI constant instead of hardcoded string |
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|---|---|---|
| .. | ||
| basic_proxy_startup_tests | ||
| batches_tests | ||
| code_coverage_tests | ||
| documentation_tests | ||
| enterprise | ||
| guardrails_tests | ||
| image_gen_tests | ||
| litellm/llms | ||
| litellm_utils_tests | ||
| litellm-proxy-extras | ||
| llm_responses_api_testing | ||
| llm_translation | ||
| load_tests | ||
| local_testing | ||
| logging_callback_tests | ||
| mcp_tests | ||
| multi_instance_e2e_tests | ||
| old_proxy_tests/tests | ||
| openai_endpoints_tests | ||
| otel_tests | ||
| pass_through_tests | ||
| pass_through_unit_tests | ||
| proxy_admin_ui_tests | ||
| proxy_security_tests | ||
| proxy_unit_tests | ||
| router_unit_tests | ||
| scim_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_litellm | ||
| unified_google_tests | ||
| vector_store_tests | ||
| windows_tests | ||
| __init__.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| README.MD | ||
| test_budget_management.py | ||
| test_callbacks_on_proxy.py | ||
| test_config.py | ||
| test_debug_warning.py | ||
| test_end_users.py | ||
| test_entrypoint.py | ||
| test_fallbacks.py | ||
| test_health.py | ||
| test_keys.py | ||
| test_logging.conf | ||
| test_models.py | ||
| test_openai_endpoints.py | ||
| test_organizations.py | ||
| test_passthrough_endpoints.py | ||
| test_ratelimit.py | ||
| test_resource_cleanup.py | ||
| test_spend_logs.py | ||
| test_team_logging.py | ||
| test_team_members.py | ||
| test_team.py | ||
| test_users.py | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/litellm
This folder can only run mock tests.